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Kurakin et al. demonstrate that adversarial examples are also a concern in the physical world. Specifically, adversarial examples are crafted digitally and then printed to see if the classification network, running on a smartphone still misclassifies the examples. In many cases, adversarial examples are still able to fool the network, even after printing.